Applied Text Mining in Python
Completed by Hamish Silverwood
September 15, 2019
25 hours (approximately)
Hamish Silverwood's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Unstructured Data
- Category: Python Programming
- Category: Model Training
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Manipulation
- Category: Feature Engineering
- Category: Unsupervised Learning
